Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…<p dir="ltr">With the rapid amount of deforestation around the world, wild animals lose their habitat and move closer to human settlements, leading to increased human-wildlife conflict and the loss of important human lives, livestock, and rare wild animal species. …”

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. …”

An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas (764241)

“…The numerical results reveal that NEPFM-SSA outshined NEPFM for all the cases under consideration, authenticating its workability. This increased accuracy results in improving the reliability of assessments of wind energy and the wider operation of wind energy installations. …”

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable support to situation-awareness IoT applications, such as surveillance, traffic management, and emergency response. …”

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail (22457644)

“…The comparative analysis of model complexity confirmed that increasing the sophistication of the LSTM model significantly enhances predictive accuracy and generalization capabilities. …”

THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber (4334227)

“…<p dir="ltr">Unmanned aerial vehicles (UAVs) are increasingly being utilized as mobile base stations for rapidly establishing temporary wireless coverage in emergency situations and remote locations. …”

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

“…Most improved RF versions modify attribute selection processes or combine them with other machine learning algorithms, increasing their complexity. Identifying an appropriate training dataset and determining its size remain open questions. …”

Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI by Tasneem Alshamaseen (22392382)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2025.3547960" target="_blank">https://dx.doi.org/10.1109/ojcoms.2025.3547960</a></p>…”

Lead exposure of Bangladeshi women at childbearing age: Does mother's education reduce fetal risk factors? by Sharmind Neelotpol (19732277)

“…Depending on its concentration in the body, lead may cause lower IQ level, autism, abnormal pregnancy outcome, abortion, and increased involvement in crime. As lead can cross the placental barrier and affect the fetus, pregnant women, fetuses, and children are more vulnerable to lead poisoning because of rapid bone mobilization and neurodevelopment. …”

Reducing injuries among young drivers: what kind of measures are needed? by Hans-Yngve Berg (19794540)

“…For example, communication campaigns and increased enforcement may be used simultaneously and in particular target young males. …”

Clinical correlates of white-matter abnormalities on head magnetic resonance imaging by Dimassi, Hani

“…Children with white-matter abnormalities and increased tone had a greater frequency of increased reflexes and tended to have more signal abnormalities than the other groups. …”
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Seat belt and mobile phone use among young adult drivers in the State of Qatar by Sohaila Cheema (4162534)

“…Concomitant with rapid socioeconomic growth, infrastructure development and increased vehicle ownership, injury, disability and mortality due to road traffic collisions are high in the Gulf Cooperation Council countries. …”

Effects of selenium in comparison to exendin-4 on the expression of GLP-1R, IRS-1 and preproinsulin in the pancreas of diabetic rats by Rizk, Sandra

“…It binds and activates GLP-1R with greater potency than GLP-1 and is used in the treatment of diabetes mellitus. …”
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Epidemiological and clinical characteristics of fall-related injuries: a retrospective study by Ahammed Mekkodathil (4578838)

“…Although the rate of fall-related injuries decreased over the years, the average number of patients per year remained high accounting for 32% of the hospitalized patients with moderate to severe injuries. …”

Trends in criminal convictions in Japan for vehicle collisions where one driver suffers from an epileptic seizure by Mineko Baba (19774386)

“…To reduce collisions to an even greater degree, this type of collision should be prevented. …”

Vitamin D Association With Macrophage-Derived Cytokines in Polycystic Ovary Syndrome: An Enhanced Risk of COVID-19 Infection? by Abu Saleh Md Moin (6189512)

“…Vitamin D deficiency was associated with decreased CD80 and IFN-γ in PCOS and IL-12 in both groups (p<0.05). …”

Effects of COVID-19 on Autism Spectrum Disorder in Qatar by Fouad A. Alshaban (17281108)

“…Parents also reported decreased access to family and social support networks, as well as decreased quality of clinical and community support. …”

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

“…<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. …”

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

“…At 7 Tesla (7T) magnetic field intensity, MRI enables increased resolution, enhanced tissue contrast, and improved SNR, compared to MRI collected from the commonly employed 3 Tesla (3T) MRI scanners. …”

Drivers obesity and road crash risks in the United States by Junaid Ahmad Bhatti (366799)

“…The prevalence of class I obesity increased from 10% in 1999 to 14% in 2012 (aPR=1.50, 95% confidence intervals [95%CI]=1.42-1.58), class II obesity from 3% to 5% (aPR=2.22, 95%CI=2.05-3.01), and class III obesity from 1% to 2% (aPR=2.65; 95%CI=2.27-3.10). …”